{"id":"W6901598696","doi":"10.6068/dp14ba8b9620654","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Labor Market and Income | Country: Canada | Table: Labour force survey estimates (LFS), by immigrant status, educational attainment, sex and age group | Variable: 15 years and over, Population, High school graduate, some post-secondary, Males, Born in Canada | Units: , 2006-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-094.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Unemployment; Census; Official statistics; Socioeconomic status; Descriptive statistics; Population; Ethnic group; Diversity (politics); Government (linguistics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002564282,0.002532249,0.002935989,0.007550935,0.003400461,0.004880632,0.005485186,0.001478893,0.09262856],"category_scores_gemma":[0.01811813,0.001997434,0.002380202,0.03672655,0.000610923,0.002359926,0.002422739,0.00331191,0.0505276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05028016,"about_ca_system_score_gemma":0.1388109,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947694,"about_ca_topic_score_gemma":0.9928637,"domain_scores_codex":[0.9955505,0.0003299174,0.0005094296,0.0005420845,0.00199298,0.001075073],"domain_scores_gemma":[0.966288,0.00118664,0.001018273,0.0009707662,0.02879461,0.001741638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003168187,0.000008527978,0.001208984,0.0002463243,0.00002421867,0.000007046262,0.00002448722,0.0001011165,0.00001017293,0.0003054847,0.9961984,0.001833653],"study_design_scores_gemma":[0.0002485508,0.00001941909,0.03591369,0.001228637,0.0001028398,0.00003543013,0.0006073724,0.0005560074,0.0002206996,0.0007797856,0.9601756,0.00011203],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006551761,0.00005026409,0.00002715918,0.0001306203,0.00003688456,0.00002087871,0.9987082,0.00005871393,0.0009017444],"genre_scores_gemma":[0.000901357,0.0002975088,0.0004660879,0.0002158737,0.00002459122,0.0001791232,0.992447,0.0001370505,0.005331334],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09262856,"threshold_uncertainty_score":0.3648098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01666645838506285,"score_gpt":0.2372614806696808,"score_spread":0.2205950222846179,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}